MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1772
Single Precision Score
12432
Half Precision Score
10112
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jayfries |
| Upload Date | January 10 2025 10:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
990
184.2 IPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5706
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4254
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
523
8.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
67661
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64750
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1081
85.7 IPS |
|
|
Object Detection (HP)
|
99% |
7117
566.2 IPS |
|
|
Object Detection (Q)
|
93% |
6490
517.9 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12247
145.5 IPS |
|
|
Face Detection (Q)
|
100% |
12385
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3284
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44788
345.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51297
400.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9951
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118907
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114815
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2523
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17869
659.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20645
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
374
499.5 IPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2578
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2313
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2297
39.7 IPS |
